AUTHOR=Zhu Yin-Hua , Xia Li-Ping , Yan Jing , Shou Xiao-Ling , Zhu Li-Yue , Sun Yan , Wang Ju-Fei , Ji Xiao-Jun , Zhu Mei-Li , Feng Bei-Li , Chen Hua-Xian 

TITLE=Personalized smart voice-based electronic prescription for remote at-home feedback management in cardiovascular disease rehabilitation: a multi-center randomized controlled trial

JOURNAL=Frontiers in Public Health

VOLUME=11

YEAR=2023

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2023.1113403

DOI=10.3389/fpubh.2023.1113403

ISSN=2296-2565

ABSTRACT=<sec><title>Objective</title><p>To investigate the quality and efficacy of remote at-home rehabilitation for patients with cardiovascular disease (CVD) using personalized smart voice-based electronic prescription, and further explore the standardized health management mode of remote family cardiac rehabilitation. Trial design: A multicenter, randomized (1:1), non-blind, parallel controlled study.</p></sec><sec><title>Methods</title><p>A total of 171 patients with CVD who were admitted to 18 medical institutions in China from April 2021 to October 2022 were randomly divided into a treatment group (86 cases) and a control group (85 cases) in a non-blinded experiment, based on the sequence of enrollment. The control group received routine at-home rehabilitation training, and the treatment group received remote feedback-based at-home cardiac rehabilitation management based on routine at-home rehabilitation training. The primary outcome was the difference in VO<sub>2</sub>peak (mL/min/kg) after 12 weeks. A linear mixed model was developed with follow-up as the dependent variable. Age and baseline data were utilized as covariates, whereas hospital and patient characteristics were adjusted as random-effect variables. As the linear mixed model can accommodate missing data under the assumption of random missing data, there was no substitute missing value for quantitative data.</p></sec><sec><title>Results</title><p>A total of 171 participants, with 86 in the experimental group and 85 in the control group, were included in the main analysis. The analysis, which used linear mixing model, revealed significant differences in cardiopulmonary function indexes (VO<sub>2</sub>/kg peak, VO<sub>2</sub>peak, AT, METs, and maximum resistance) at different follow-up time (0, 4, and 12 weeks) in the experimental group (<italic>p</italic> &lt; 0.05). In the control group, there was no significant difference in cardiopulmonary values at different follow-up time (0, 4, and 12 weeks; <italic>p</italic> &gt; 0.05). VO<sub>2</sub>/kg peak (LS mean 1.49, 95%CI 0.09–2.89, <italic>p</italic> = 0.037) and other indicators of cardiopulmonary function (<italic>p</italic> &lt; 0.05) were significantly different between the experimental group and the control group at week 12. The results were comparable in the complete case analysis.</p></sec><sec><title>Conclusion</title><p>The remote home cardiac rehabilitation management mode using personalized smart voice-based electronic prescription provides several benefits to patients, including improvements in muscle strength, endurance, cardiopulmonary function, and aerobic metabolism. It also helps reduce risk factors for cardiovascular disease and enhances patients’ self-management abilities and treatment compliance.</p><p>Clinical trial registration: <ext-link xlink:href="http://www.chictr.org.cn" ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink">http://www.chictr.org.cn</ext-link>, identifier ChiCTR2100044063.</p></sec>